rt-RISeg is a real-time, model-free framework for robot interactive segmentation of unseen objects. By leveraging robot interactions and analyzing body frame-invariant features, it can segment objects without any learned model. The method achieves significantly higher accuracy than previous approaches and can also enhance the performance of vision foundation models by providing high-quality segmentation masks.